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Springer Texts in Statistics

Regression Analysis

Theory, Methods, and Applications

Authors: Sen, Ashish, Srivastava, Muni

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About this Textbook

Any method of fitting equations to data may be called regression. Such equations are valuable for at least two purposes: making predictions and judging the strength of relationships. Because they provide a way of em­ pirically identifying how a variable is affected by other variables, regression methods have become essential in a wide range of fields, including the social sciences, engineering, medical research and business. Of the various methods of performing regression, least squares is the most widely used. In fact, linear least squares regression is by far the most widely used of any statistical technique. Although nonlinear least squares is covered in an appendix, this book is mainly about linear least squares applied to fit a single equation (as opposed to a system of equations). The writing of this book started in 1982. Since then, various drafts have been used at the University of Toronto for teaching a semester-long course to juniors, seniors and graduate students in a number of fields, including statistics, pharmacology, engineering, economics, forestry and the behav­ ioral sciences. Parts of the book have also been used in a quarter-long course given to Master's and Ph.D. students in public administration, urban plan­ ning and engineering at the University of Illinois at Chicago (UIC). This experience and the comments and criticisms from students helped forge the final version.

Reviews

"I found this to be the most complete and up-to-date regression text I have come across...this text has much to offer."
-Journal of the American Statistical
Association
"The material is presented in a lucid and easy-to-understand style...can be ranked as one of the best textbooks on regression in the market."
-mathermatical Reviews
"...a successful mix of theory and practice...It will serve nicely to teach both the logic behind regression and the data-analytic use of regression."
-SIAM Review

Table of contents (12 chapters)

Table of contents (12 chapters)

Buy this book

eBook $79.99
price for USA in USD
  • ISBN 978-1-4612-4470-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.99
price for USA in USD
  • ISBN 978-0-387-97211-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
Softcover $99.99
price for USA in USD
  • ISBN 978-1-4612-8789-6
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Regression Analysis
Book Subtitle
Theory, Methods, and Applications
Authors
Series Title
Springer Texts in Statistics
Copyright
1990
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York Inc.
eBook ISBN
978-1-4612-4470-7
DOI
10.1007/978-1-4612-4470-7
Hardcover ISBN
978-0-387-97211-4
Softcover ISBN
978-1-4612-8789-6
Series ISSN
1431-875X
Edition Number
1
Number of Pages
XVI, 348
Topics

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